# A tibble: 4 x 3
class precision recall
<fct> <dbl> <dbl>
1 wrapped 2016 0.231 0.277
2 wrapped 2017 0.268 0.22
3 wrapped 2018 0.208 0.22
4 wrapped 2020 0.348 0.32
# A tibble: 4 x 3
class precision recall
<fct> <dbl> <dbl>
1 wrapped 2016 0.260 0.267
2 wrapped 2017 0.318 0.27
3 wrapped 2018 0.252 0.27
4 wrapped 2020 0.333 0.35
# A tibble: 4 x 3
class precision recall
<fct> <dbl> <dbl>
1 wrapped 2016 0.243 0.257
2 wrapped 2017 0.330 0.3
3 wrapped 2018 0.244 0.22
4 wrapped 2020 0.407 0.46
Outliers:
2016 Jesus of Suburbia - Green Day: an outlier because the song has lots of different sections and tempo changes.
2017 Weightless part 1 - Marconi Union: an outlier because its sleep music and is not something you would listen to on the regular.
2018 Bohemian Rhapsody - Queen: an outlier because it has different sections and tempo changes.
2019/2020 Build God, Then We’ll Talk - Panic! At The Disco: an outlier because it has different sections and tempo changes.
Outliers:
2016 Jesus of Suburbia - Green Day: an outlier because the song has lots of different sections and tempo changes.
2017 Weightless part 1 - Marconi Union: an outlier because its sleep music and is not something you would listen to on the regular.
2018 Bohemian Rhapsody - Queen: an outlier because it has different sections and tempo changes.
2019/2020 Build God, Then We’ll Talk - Panic! At The Disco: an outlier because it has different sections and tempo changes.
Every december Spotify makes you a “wrapped” playlist of the 100 songs you most frequently listened to that year giving a clear picture of your music taste that year. I’ve always found that my music taste is kind of variable with a lot of different genre’s so it would be interesting to see how my music taste has changed from 2016 till now. To compare my music taste from 2016 to 2020 i will analyze my Spotify wrapped 2016-2020 playlists using the following metrics: valence, danceability, energy, tempo and modality.
After getting a global idea i’d like to take one favorite song from each year which i will compare in more depth, using the metrics mentioned above and chroma/timbregrams to look at similarities/differences. (WIP)
My Corpus is divided into 5 groups of spotify wrapped playlists representing 2016 to 2020: